herbps10
My small contribution to this area is an interactive notebook where you can add data points and see how different GP kernels behave: https://observablehq.com/@herbps10/gaussian-processes
The CDC tests thousands of people in the U.S. every two years for a panel of chemicals (including endocrine disruptors) via NHANES, so at very least you can compare your results to that to see if you are unusual relative to a nationally representative sample of Americans.
I think it would be possible to bring the price down if you had your own dedicated mass spec and high volume, but it's never going to be cheap. Unfortunately the usefulness of this kind of testing increases the more you can get tested, e.g. before and after a dietary intervention. I think the market for this kind of testing could be large if there was a way to bring the price down, but that probably requires the development of new analytical chemistry techniques.
We measure chemical levels in people’s environments and in their bodies—even a New York Times columnist Nicholas Kristof was tested in one of our studies: http://nyti.ms/2CdcyQ4! We built a web application to help us return individual results in an understandable way to the people who were tested. We need your help turning it into a scalable tool that can be used by more studies to reach tens of thousands of participants. Here’s a description of some of our work so far: https://ehp.niehs.nih.gov/EHP702/.
Silent Spring is relentlessly asking tough questions about the chemicals in our homes and in the products we buy. You’ll be there with us, helping us communicate our findings to create conscious consumers and healthier communities.
You will have opportunities to develop new software tools or lead data science projects, for example, analyzing environmental health data, developing new R packages, or creating novel visualizations of our unique datasets. You will help develop new smartphone tools, like Detox Me (https://silentspring.org/detoxme/) to collect data on the products people are using and track interventions to their reduce exposures.
This is a full time position. We offer competitive salaries, 4 weeks vacation plus holidays, health insurance, and other benefits.
More information: https://silentspring.org/opportunities-silent-spring-institu... To apply: Send a cover letter and resume to [email protected]
We’re looking for a web application engineer to lead our efforts to design digital tools to communicate research about harmful chemicals in everyday environments.
We measure chemical levels in people’s environments and in their bodies—even a New York Times columnist Nicholas Kristof was tested in one of our studies: http://nyti.ms/2CdcyQ4! We built a web application to help us return individual results in an understandable way to the people who were tested. We need your help turning it into a scalable tool that can be used by more studies to reach tens of thousands of participants. Here’s a description of some of our work so far: https://ehp.niehs.nih.gov/EHP702/.
Silent Spring is relentlessly asking tough questions about the chemicals in our homes and in the products we buy. You’ll be there with us, helping us communicate our findings to create conscious consumers and healthier communities.
You will have opportunities to develop new software tools or lead data science projects, for example, analyzing environmental health data, developing new R packages, or creating novel visualizations of our unique datasets. You will help develop new smartphone tools, like Detox Me (https://silentspring.org/detoxme/) to collect data on the products people are using and track interventions to their reduce exposures.
This is a full time position. We offer competitive salaries, 4 weeks vacation plus holidays, health insurance, and other benefits.
More information: https://silentspring.org/opportunities-silent-spring-institu... To apply: Send a cover letter and resume to [email protected]
Also, note that this paper only looks at public water supply testing data, not private well water.
From the linked article: "From the authors of the study: We have mapped watersheds in the United States that have potentially high concentrations of PFASs based on U.S. EPA data. This does not mean that all drinking water supplies within the highlighted regions contain high PFAS concentrations, but that at least one sample from at least one water supply was reported to be at or above levels considered safe by the U.S. EPA between 2013 and 2015. However, no measurements have been made in many water supplies across the country. We recommend increased monitoring of these contaminants in our drinking water. For more information, please contact the EPA: Cathy Milbourn, [email protected], or Monica Lee, [email protected]."
I'll follow up with my colleague to see if she has any thoughts.
From my colleague: "The highly fluorinated chemicals that we discussed are organic compounds, meaning that they contain carbon atoms. They are called highly fluorinated or per- and polyfluoro alkyl substances because they have many fluorine atoms, and the carbon atoms are entirely or often bound to fluorine (There may be highly fluorinated chemicals that aren't strictly PFASs, but that's a minor point). These highly fluorinated chemicals have unique chemical properties that give them their characteristic grease and water resistance (typically one end of the molecule is more soluble in oil, and the other end is more soluble in water, similar to other surfactants). The concerns about PFAS toxicity stem from the properties of the whole molecule and not just because they contain fluorine."
I can add that we're also following several other communities with PFAS contamination issues, like Newburgh, NY; Bennington, VT; and Pease, NH.
Population Level Penny Shaving
Yes, but most kids are not allowed or encouraged to play on their roofs. If they were, the rate of injury would likely be much higher.
If anyone would like help generating similar analyses of their texting data, I'd be glad to help as I have some machinery set up to do so!
Here's a prototype site I put together that takes iPhone SMS backups and generates a graph of how many texts you've sent over time: